{"id":"W4212982199","doi":"10.1002/ird.2694","title":"Water reuse to free up freshwater for higher‐value use and increase climate resilience and water productivity","year":2022,"lang":"en","type":"article","venue":"Irrigation and Drainage","topic":"Water resources management and optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Consortium of International Agricultural Research Centers; Global Affairs Canada; Government of Canada; World Bank Group","keywords":"Water scarcity; Reuse; Water conservation; Environmental science; Water use; Water resources; Productivity; Farm water; Desalination; Business; Water resource management; Natural resource economics; Economics; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000320188,0.0001257223,0.0001068258,0.0001129033,0.0002948187,0.0001893074,0.0001003104,0.00002587517,0.00004120473],"category_scores_gemma":[0.00002552248,0.00009267373,0.00001390371,0.00005331659,0.00003537642,0.0004005852,0.0004373957,0.00006573783,0.0000029501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002321863,"about_ca_system_score_gemma":9.524367e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005093017,"about_ca_topic_score_gemma":0.00003281602,"domain_scores_codex":[0.999195,0.0000454023,0.0001334216,0.0002673914,0.0001114279,0.0002473926],"domain_scores_gemma":[0.9995999,0.000018652,0.00001211153,0.000268956,0.00002035499,0.00007998254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002211097,0.0002969943,0.008458535,0.00372653,0.0003132859,0.0001053135,0.08893842,0.3568581,0.3925845,0.1053241,0.02907414,0.01210893],"study_design_scores_gemma":[0.005943994,0.0006720523,0.02867225,0.00008003321,0.0002122896,0.00003105048,0.0007528624,0.1958951,0.1246288,0.09745491,0.5438081,0.001848585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956333,0.00003006846,0.0009222861,0.001353883,0.0001660978,0.000611291,0.00005863751,0.0001408121,0.001083624],"genre_scores_gemma":[0.9961949,0.000003950879,0.001708116,0.0002131636,0.00004865776,0.0001302129,0.0001148203,0.00002601695,0.001560181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.514734,"threshold_uncertainty_score":0.3779125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180797183296951,"score_gpt":0.2012843492737366,"score_spread":0.1894763774407671,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}